Olfactory receptors (ORs) form the largest superfamily of G protein-coupled receptors (GPCRs). Traditionally recognized for their role in the nasal olfactory epithelium, where they mediate the sense of smell, accumulating evidence has firmly established their ectopic expression in non-olfactory tissues, including the intestine, lungs, and kidneys. The intestine, as the primary site for nutrient digestion and absorption, harbors a highly complex chemical environment. To adapt to this environment, the gut employs a sophisticated network of “chemosensors” to monitor luminal contents and maintain homeostasis. Among these sensors, intestinal ORs have emerged as crucial functional components, serving as a molecular bridge that connects environmental chemical signals—such as food-derived odorants—to specific physiological responses. This discovery has significantly deepened our understanding of how dietary flavors and compounds influence intestinal physiology at the molecular level. This review systematically summarizes the expression profiles, ligand classification, and biological functions of ORs within the gastrointestinal tract. Studies indicate that intestinal ORs exhibit distinct spatial distribution patterns across different gut segments and display cell-type specificity, particularly within enterocytes and enteroendocrine cells. These receptors function as versatile sensors capable of recognizing a wide variety of ligands, including exogenous dietary components, gut microbiota metabolites such as short-chain fatty acids, and endogenous small molecules like azelaic acid. Upon activation by specific ligands, intestinal ORs trigger intracellular signaling cascades, primarily involving the AC-cAMP-PKA pathway or calcium influx channels. A major focus of this review is to elucidate the molecular mechanisms by which these receptors regulate the secretion of gut hormones. Activation of specific ORs in enteroendocrine cells has been shown to stimulate the release of hormones such as glucagon-like peptide-1 (GLP-1), peptide YY (PYY), and serotonin (5-HT), thereby modulating systemic energy metabolism, glucose homeostasis, and gastrointestinal motility. Furthermore, the review addresses the critical roles of ORs in immune regulation and pathology. Evidence suggests that specific ORs contribute to the maintenance of intestinal immune homeostasis and may offer protection against inflammation. Beyond their involvement in inflammatory responses, ORs such as Olfr78 have been shown to regulate the differentiation and function of intestinal endocrine cells. Similarly, Olfr544 has been demonstrated to alleviate intestinal inflammation by remodeling the gut microbiome and metabolome. These findings collectively suggest that specific ORs hold promise as therapeutic targets for mitigating intestinal inflammation and maintaining gut homeostasis. Additionally, the review explores the emerging role of ORs in cancer. Although OR expression is often downregulated in tumor tissues compared to normal mucosa, activation of specific ORs by certain ligands can inhibit tumor cell proliferation and migration and induce apoptosis via pathways such as MEK/ERK and p38 MAPK. Conversely, other receptors, such as OR7C1, may serve as biomarkers for cancer-initiating cells. In conclusion, intestinal ORs represent a vital component of the gut’s sensory network. The review also discusses the translational potential of these findings. By elucidating the precise pairing relationships between dietary components and specific ORs, novel therapeutic strategies could be developed. Intestinal ORs may thus emerge as promising targets for nutritional and pharmacological interventions in metabolic diseases, inflammatory bowel diseases, and malignancies.

In the context of burgeoning economic trade, there has been a remarkable increase in the number of ships travelling between domestic and international ports. Inbound and outbound cargo ships, cruise liners, ferries, and other types of vessels have emerged as critical vehicles for the dispersal of vector organisms and the spread of infectious disease agents. Public health concerns associated with these vessels represent a significant threat to human welfare. In this paper, we comprehensively review the hazards posed by vector organisms on ships, the latest advances in prevention and control strategies, and proposes appropriate countermeasures. The aim is to provide effective guidance for the prevention and control of public health security issues caused by ship-borne vector organisms.

Objective This study reports on the obligatory parasitism of water mites Arrenurus sp. on Anopheles messeae at the Manzhouli Port, Inner Mongolia, China. Methods Duing July 2024, a survey on the mosquito diversity was conducted at the Manzhouli Port. Captured mosquitoes and their ectoparasites were identified to species level. Results A total of 1840 adult mosquitoes were collected, representing species from three genera: Culex(Cx. modestus, Cx. pipiens pallens), Aedes(Ae. dorsalis, Ae. flavidorsalis, Ae. flavescens), and Anopheles (An. messeae). Among all the mosqutioes specimens,3 out of 150 captured An. messeae were found to carry ectoparasitic mites, with number of 2,4,27 mites separately. Morphological and molecular identification reached the same result as water mites(Hydrachnidiae, Hydracrina). COI gene sequence showed 94% similarity with the closest species Arrenurus truncatellus. Conlusions Literature review suggests water mites are host-specific parasitism of mosquito species and herein with the first record of Arrenurus sp. parasiting on An. Messeae in the most high-latitude region globally.

This study assessed the role and mechanism of the recombinant Bacillus Calmette-Gue?rin vaccine(rBCG)with c-di-AMP adjuvant in regulating metabolism and immunity in epididymal white adipose(eWAT)in mice.Male C57BL/6 mice were intravenously immunized with BCG and rBCG,and their body weights were monitored.eWAT was isolated from the mice,and the stromal vascular fractions(SVFs)cell number was counted with a hemocytometer.Sections of mouse adipose tissue were prepared,and the size,number,and morphology of eWAT adipocytes and crown-like structure(CLS)formation were compared under a microscope after HE staining.The transcription levels of lipid metabolism-associated factors,cytokines and aging-associated genes in each group were determined with qRT-PCR.The body weights of mice gradually increased after immunization with BCG and rBCG.The proportions of eWAT increased,and the SVFs cell number decreased,in rBCG immunized mice.HE staining indicated that BCG immunization promoted hyperplasia,whereas rBCG immunization promoted hypertrophy of eWAT adipocytes;moreover,both BCG and rBCG immunization induced CLS formation in eWAT.The qRT-PCR results indicated that rBCG immunization inhibited the expression of genes associated with lipolysis and energy expenditure in eWAT.BCG immunization had little effect on cytokine transcription,whereas rBCG significantly induced the transcription of IFN-γ and IL-1Ra,and inhibited that of IL-15 and IL-2,but did not induce the expression of aging-associated genes.Thus,rBCG immunization induced eWAT adipocyte hypertrophy,which was associated with the inhibition of eWAT lipolysis and the regulation of cytokine expression.

Objective:To analyze the dynamic changes of serum exosome miR-552 and miR-653 levels in pa-tients with gastric cancer before and after chemotherapy and their relationship with clinical benefit.Methods:IA total of 128 patients with gastric cancer received chemotherapy from January 2022 to January 2024.According to the chemo-therapy effect,the two groups were divided into disease progression group and disease remission group.The levels of serum exosome miR-552 and miR-653 before and after chemotherapy were detected in the two groups,the risk fac-tors affecting the chemotherapy effect of gastric cancer patients were screened,the risk nomogram model was con-structed,and the efficacy was evaluated.Results:The proportion of TNM stage(Ⅲ+Ⅳ),lymph node metastasis,dis-tant metastasis,tumor size(>5 cm),invasion depth(T3/T4)and tumor growth pattern(invasive type)in disease progres-sion group was higher than that in disease remission group(P<0.05).The levels of serum exosomes miR-552 and miR-653 in disease progression group were higher than those in remission group before and after chemotherapy(P<0.05).Compared with before chemotherapy,miR-552 and miR-653 levels in both groups decreased(P<0.05).Logistic regres-sion analysis showed that TNM stage,lymph node metastasis,distant metastasis,tumor size,invasion depth,miR-552 and miR-653 were all risk factors affecting the chemotherapy efficacy of gastric cancer(P<0.05).ROC curve results showed that the AUC,95%CI,sensitivity and specificity of risk nomogram model to predict chemotherapy efficacy of gastric cancer were 0.867,0.672～0.991,92.80%and 80.40%,respectively(P<0.001).Calibration curve results showed that both predicted and actual predicted values were near the ideal curve,and the Hosmer-Lemeshow goodness of fit curve test χ2=1.869,P=0.782.Conclusion:The levels of serum exosomes miR-552 and miR-653 are closely related to the chemotherapy efficacy of gastric cancer,and dynamic monitoring of the above indexes is helpful for the evaluation of the disease and prognosis of gastric cancer.In this study,the risk nomogram model constructed based on the above indexes and other risk factors has high predictive value and clinical practicability for chemotherapy efficacy in patients with gastric cancer.

Objective To comparatively analyze the quantitative parameters of culprit and non-culprit plaques in patients with acute coronary syndromes(ACS)with a noninvasive technique of coronary computed tomography angiography(CCTA),and to explore the correlation between the quantitative parameters of plaques and culprit plaques.Methods Data were restrospectively collected from 51 ACS patients admitted in some hospital from January to December 2021.The coronary atherosclerotic plaques shown by invasive catheter angiography(ICA)that caused hemodynamic abnormalities and were treated with stenting were defined as offender plaques and enrolled into a culprit plaque group(56 culprit plaques),and other plaques were regarded as non-culprit plaques and divied into a non-culprit plaque group(164 non-culprit plaques).The relationship between culprit plaque and luminal stenosis was analyzed using the chi-square test,and quantitative plaque metrics were compared between the groups.The corelation between quantitative indicators and culprit plaque was analyzed using univariate Logistic regression,and multifactorial Logistic regression analysis was carried out.Statistical analysis was performed with SPSS 23.0 software.Results Analysis of plaque imaging data showed that culprit plaque was significantly associated with the degree of luminal stenosis(P<0.05).Statistically significant differences were found beween the two groups and between the culprit plaques resulting in moderate or greater luminal stenosis and non-culprit plaques in total plaque length,total plaque load,calcification load,fibrolipid volume,fibrolipid load,necrotic core volume and necrotic core load(all P<0.05).Univariate Logistic regression analysis showed total plaque length,total plaque load,fibrolipid volume,fibrolipid load,necrotic core volume and necrotic core load were all significantly correlated with culprit plaques(all P<0.05);multifactorial Logistic regress indicated total plaque length and fibrous lipid load were independent risk factors for culprit plaques,and the probability of culprit plaques increased to 1.093 and 1.101 times for every one unit increase in total plaque length and fibrolipid load,respectively.Conclusion Such quantitative parameters of plaques as total plaque length,total plaque load,fibrolipid volume,fibrolipid load,necrotic core volume and necrotic core load reflects the characteristics of culprit plaques effectively.Quantitative plaque parameter analysis based on CCTA facilitates clinicians for early assessment of patients with coronary atherosclerosis,which enables early intervention and prevention of acute coronary syndromes.[Chinese Medical Equipment Journal,2025,46(6):65-71]

Objective To comparatively analyze the quantitative parameters of culprit and non-culprit plaques in patients with acute coronary syndromes(ACS)with a noninvasive technique of coronary computed tomography angiography(CCTA),and to explore the correlation between the quantitative parameters of plaques and culprit plaques.Methods Data were restrospectively collected from 51 ACS patients admitted in some hospital from January to December 2021.The coronary atherosclerotic plaques shown by invasive catheter angiography(ICA)that caused hemodynamic abnormalities and were treated with stenting were defined as offender plaques and enrolled into a culprit plaque group(56 culprit plaques),and other plaques were regarded as non-culprit plaques and divied into a non-culprit plaque group(164 non-culprit plaques).The relationship between culprit plaque and luminal stenosis was analyzed using the chi-square test,and quantitative plaque metrics were compared between the groups.The corelation between quantitative indicators and culprit plaque was analyzed using univariate Logistic regression,and multifactorial Logistic regression analysis was carried out.Statistical analysis was performed with SPSS 23.0 software.Results Analysis of plaque imaging data showed that culprit plaque was significantly associated with the degree of luminal stenosis(P<0.05).Statistically significant differences were found beween the two groups and between the culprit plaques resulting in moderate or greater luminal stenosis and non-culprit plaques in total plaque length,total plaque load,calcification load,fibrolipid volume,fibrolipid load,necrotic core volume and necrotic core load(all P<0.05).Univariate Logistic regression analysis showed total plaque length,total plaque load,fibrolipid volume,fibrolipid load,necrotic core volume and necrotic core load were all significantly correlated with culprit plaques(all P<0.05);multifactorial Logistic regress indicated total plaque length and fibrous lipid load were independent risk factors for culprit plaques,and the probability of culprit plaques increased to 1.093 and 1.101 times for every one unit increase in total plaque length and fibrolipid load,respectively.Conclusion Such quantitative parameters of plaques as total plaque length,total plaque load,fibrolipid volume,fibrolipid load,necrotic core volume and necrotic core load reflects the characteristics of culprit plaques effectively.Quantitative plaque parameter analysis based on CCTA facilitates clinicians for early assessment of patients with coronary atherosclerosis,which enables early intervention and prevention of acute coronary syndromes.[Chinese Medical Equipment Journal,2025,46(6):65-71]

Objective:To provide novel genetic biomarkers for the diagnosis and treatment of sepsis,bioinformatics analysis was used to screen differentially expressed genes and identify Hub genes in sepsis.Methods:Gene Expression Omnibus(GEO)database was used to retrieve gene expression datasets of sepsis and screen for differentially expressed genes(DEGs).Protein-protein interaction(PPI)network analysis,Gene Ontology(GO)analysis,and Kyoto Encyclopedia of Genes and Genomes(KEGG)pathway enrichment analysis were used to clarify the molecular mechanism of DEGs,and Hub genes were screened.Results:A total of 361 DEGs were identified,including 163 up-regulated genes and 198 down-regulated genes.Enrichment analysis revealed that these DEGs were primarily involved in antigen processing and presentation,T cell biology,cell adhesion molecules,and T cell receptor signaling pathways.CD4,TP53,PTPRC,LCK,ITGAM,ZAP70,CD247,CD2,CD3E,and HSP90AB1 were determined as optimal diagnostic biomarkers for sepsis.Conclusions:This study elucidated 10 Hub genes(CD4,TP53,PTPRC,LCK,ITGAM,ZAP70,CD247,CD2,CD3E,and HSP90AB1)as potential biomarkers for the diagnosis and treatment of sepsis.However,since the the generalizability of these Hub genes in patients with sepsis remains unvalidated,further experimental verification is still needed in the future.

Objective:To provide novel genetic biomarkers for the diagnosis and treatment of sepsis,bioinformatics analysis was used to screen differentially expressed genes and identify Hub genes in sepsis.Methods:Gene Expression Omnibus(GEO)database was used to retrieve gene expression datasets of sepsis and screen for differentially expressed genes(DEGs).Protein-protein interaction(PPI)network analysis,Gene Ontology(GO)analysis,and Kyoto Encyclopedia of Genes and Genomes(KEGG)pathway enrichment analysis were used to clarify the molecular mechanism of DEGs,and Hub genes were screened.Results:A total of 361 DEGs were identified,including 163 up-regulated genes and 198 down-regulated genes.Enrichment analysis revealed that these DEGs were primarily involved in antigen processing and presentation,T cell biology,cell adhesion molecules,and T cell receptor signaling pathways.CD4,TP53,PTPRC,LCK,ITGAM,ZAP70,CD247,CD2,CD3E,and HSP90AB1 were determined as optimal diagnostic biomarkers for sepsis.Conclusions:This study elucidated 10 Hub genes(CD4,TP53,PTPRC,LCK,ITGAM,ZAP70,CD247,CD2,CD3E,and HSP90AB1)as potential biomarkers for the diagnosis and treatment of sepsis.However,since the the generalizability of these Hub genes in patients with sepsis remains unvalidated,further experimental verification is still needed in the future.

Objective:To construct a predictive model for benign and malignant colorectal lesions based on modal ultrasound parameters and clinical indicators,and evaluate the effectiveness of the predictive model.Methods:Clinical data of 198 patients with colorectal lesions treated in Hebei Petro China Central Hospital from March 2020 to March 2024 were recorded.According to pathological diagnosis,they were grouped into a benign lesion group of 102 cases and a malignant lesion group of 96 cases.All patients underwent multimodal ultrasound examination.Multivariate Logistic re-gression analysis was applied to screen the influencing factors of colorectal cancer progression.R software package was applied to build a nomogram prediction model.Hosmer-Lemeshow test,calibration curve,ROC curve,and clinical deci-sion curve were used for validation.Results:There were statistically obvious differences in internal echo,morphology,blood flow signal,rise time(RT),contrast agent of"fast in and fast out",mean Young's modulus(Emean),age,positive fecal occult blood,and polyps between the benign and malignant lesion groups(P＜0.05).Uneven internal echoes,irregu-lar shapes,abundant blood flow signals,contrast agent of"fast in and fast out",age ≥ 60 years,positive fecal occult blood,and polyps ≥ 2 were independent risk factors for colorectal cancer(P＜0.05),while RT is a protective factor for colorectal cancer(P＜0.05).The internal validation results of the nomogram prediction model showed that the Hosmer-Lemeshow test showed x2=3.661 and P=0.886.The calibration curve showed that the actual probability was basically consistent with the predicted probability,and the AUC of the ROC curve was 0.802(95％CI:0.732-0.871),indicating that the calibration and discrimination of the column chart prediction model were good.Within the high-risk threshold range of 0.28-0.98,the decision curve was above the All line and None line,indicating a high net benefit and clinical practicality.Conclusion:Internal echo,morphology,blood flow signal,contrast agent of"fast in and fast out",age,positive fecal occult blood,polyps,and RT are influencing factors for the occurrence of colorectal cancer.The column chart prediction model constructed based on this has good predictive performance and provides reference for early inter-vention by clinical physicians.